Update README.md

README.md

@@ -53,7 +53,25 @@ learning methods, and will continue to grow with new modalities and annotations.
 <hr>
 
 
-### 🗂️ Data Modalities Overview
+## 🗃️ Dataset Structure
+
+```
+data/
+├── DOMAIN_SENSOR_DATATYPE/
+│   ├── ROI/
+│   │   ├── <Patch>.tif  
+│   │   ├── <Patch>_baseline.tif
+|   |   ├── ...
+│   ├── ROI/
+│   │   ├── <Patch>.tif
+│   │   ├── <Patch>.tif
+│   └── ...
+├── DOMAIN_SENSOR_DATATYPE/
+...
+```
+
+
+## 🗂️ Data Modalities Overview
 
 <center>
 <table>
@@ -121,7 +139,7 @@ learning methods, and will continue to grow with new modalities and annotations.
 <p align="center"><img src="datacard_imgs/FLAIR-HUB_Patches_Hori.png" alt="" style="width:100%;max-width:1300px;" /></p>
 <hr>
 
-### 🏷️ Supervision 
+## 🏷️ Supervision 
 
 FLAIR-HUB includes two complementary supervision sources: AERIAL_LABEL-COSIA, a high-resolution land cover annotation derived from expert photo-interpretation 
 of RGBI imagery, offering pixel-level precision across 19 classes; and AERIAL_LABEL-LPIS, a crop-type annotation based on farmer-declared parcels 
@@ -132,7 +150,7 @@ LPIS captures declared land use, and the two differ in purpose, precision, and s
 <hr>
 
 
-### 🌍 Spatial partition 
+## 🌍 Spatial partition 
 
 FLAIR-HUB uses an <b>official split for benchmarking, corresponding to the SET1 fold</b>. 
 
@@ -158,7 +176,7 @@ FLAIR-HUB uses an <b>official split for benchmarking, corresponding to the SET1
 <hr>
 
 
-### 📚 How to Cite
+## 📚 How to Cite
 
 
 ```
@@ -179,7 +197,7 @@ DOI: https://doi.org/10.13140/RG.2.2.30183.73128/1
 ```
 
 
-### ⚙️ Acknowledgement
+## ⚙️ Acknowledgement
 
 Experiments have been conducted using HPC/AI resources provided by GENCI-IDRIS (Grant 2024-A0161013803, 2024-AD011014286R2 and 2025-A0181013803).